Wen Wu - IEEE Xplore Author Profile

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Author details

Wen Wu

Publications

96

Citations

3,118

Publications by Year

20172025

Co-Authors:

Osama Aboul-MagdBo AiKhalid AldubaikhyEdward AuZhiyong Bu

Show All Co-Authors (163)

Wen Wu

Affiliation

Frontier Research Center

Pengcheng Laboratory

Shenzhen, China

Publication Topics

Time Slot,
Edge Server,
Internet Of Things,
Base Station,
Unmanned Aerial Vehicles,
Channel State,
Deep Neural Network,
Digital Twin,
Optimization Problem,
Resource Allocation,
Actor Network,
Edge Computing

Biography

Wen Wu (wuw02@pcl.ac.cn) is an Associate Researcher with the Frontier Research Center, Peng Cheng Laboratory, China.(Based on document published on 2 September 2024).

Publications

96

Citations

3,118

Publications by Year

20172025

Co-Authors:

Osama Aboul-Magd
Bo Ai
Khalid Aldubaikhy
Edward Au
Zhiyong Bu

Show All Co-Authors (163)

Author's Published Works

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Showing 1-13 of 13 results

Conferences (10)

Journals (3)

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Yancai Xu(13)
Qinglai Wei(4)
Linyao Yang(4)
Derong Liu(4)
Xiao Wang(3)
Qingdao Academy of Intelligent Industries, Qingdao, China(3)
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China(2)
Chinese Academy of Sciences, Institute of Automation, Beijing, China(2)
School of Electrical Engineering and Automation, Wuhan University, Wuhan, China(2)
State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China(2)
2022 4th International Conference on Control and Robotics (ICCR)(2)
IEEE Transactions on Computational Social Systems(2)
2016 12th World Congress on Intelligent Control and Automation (WCICA)(1)
2016 IEEE Symposium Series on Computational Intelligence (SSCI)(1)
2017 6th Data Driven Control and Learning Systems (DDCLS)(1)
IEEE(13)
Guangzhou, China(3)
Athens, Greece(1)
Beijing, China(1)
Chongqing, China(1)
Guilin, China(1)
Optimal Control(6)
Dynamic Programming(5)
Neural Network(5)
Adaptive Dynamic Programming(4)
Bellman Equation(4)

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Oil and Gas Leak Detection Technology Based on Adaptive Dynamic Programming

Qiang Zhang;Zhongkai Yu;Nijiati Ayoufu;Xiao Yuan;Yancai Xu;Ying Zhu

2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

Year: 2024 | Conference Paper |

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This study developed an innovative oil and gas leak detection method using Adaptive Dynamic Programming (ADP) technology. This approach integrates multisensor data fusion, multi-feature data analysis, and real-time decision-making adjustments, significantly enhancing detection sensitivity and accuracy. Compared to conventional methods, ADP exhibits superior adaptability and dynamic optimization in...Show More

Oil and Gas Leak Detection Technology Based on Adaptive Dynamic Programming

Qiang Zhang;Zhongkai Yu;Nijiati Ayoufu;Xiao Yuan;Yancai Xu;Ying Zhu

2024 International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC)

Year: 2024 | Conference Paper |

Parallel Reasoning Based on ACP Method for Power Grid Dispatching

Yancai Xu;Linyao Yang;Fenghua Zhu;Xiao Wang;Fei- Yue Wang

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2023 | Conference Paper |

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Multi-source heterogeneous knowledge collaboration is the technical foundation for establishing a complete knowledge base. A parallel reasoning framework based on the ACP method is proposed to establish a complete knowledge base. The contribution of this framework is three-fold. First, it provides a virtual experimental platform for generating the artificial data needed for missing knowledge extra...Show More

Parallel Reasoning Based on ACP Method for Power Grid Dispatching

Yancai Xu;Linyao Yang;Fenghua Zhu;Xiao Wang;Fei- Yue Wang

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Year: 2023 | Conference Paper |

Metaverse Driven Edge-Fogging-Cloud Network for Complex Human Activity Recognition Using Sensors Fusion

Haoyu Fan;Jirun Gao;Yancai Xu;Giancarlo Fortino;Wen Qi

2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA)

Year: 2023 | Conference Paper |

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Metaverse and digital twins are promising for applications in people-centered domains, such as smart cities and telemedicine. Meanwhile, combining the technologies with human activity recognition (HAR) can substantially improve identification accuracy and computational efficiency. Besides, using an edge-fog-cloud network architecture for data transmission offers advantages regarding storage space ...Show More

Metaverse Driven Edge-Fogging-Cloud Network for Complex Human Activity Recognition Using Sensors Fusion

Haoyu Fan;Jirun Gao;Yancai Xu;Giancarlo Fortino;Wen Qi

2023 International Conference on Intelligent Metaverse Technologies & Applications (iMETA)

Year: 2023 | Conference Paper |

HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein–Procrustes Learning for Unsupervised Network Alignment

Linyao Yang;Xiao Wang;Jun Zhang;Jun Yang;Yancai Xu;Jiachen Hou;Kejun Xin;Fei-Yue Wang

IEEE Transactions on Computational Social Systems

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

Cited by: Papers (10)

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Network alignment (NA) that identifies equivalent nodes across networks is an effective tool for integrating knowledge from multiple networks. The state-of-the-art NA methods learn inter-network node similarities based on labeled anchor links, which are costly, time-consuming, and difficult to acquire. Therefore, a few unsupervised network alignment (UNA) methods propose solving NA problems withou...Show More

HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein–Procrustes Learning for Unsupervised Network Alignment

Linyao Yang;Xiao Wang;Jun Zhang;Jun Yang;Yancai Xu;Jiachen Hou;Kejun Xin;Fei-Yue Wang

IEEE Transactions on Computational Social Systems

Year: 2023 | Volume: 10, Issue: 2 | Journal Article |

Zero-Sum Differential Game-Based Fault-Tolerant Tracking Control for Nonlinear Systems With Multiplicative Failures

Cong Tan;Mingduo Lin;Hongbing Xia;Bo Zhao;Yancai Xu

2022 China Automation Congress (CAC)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

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A novel fault-tolerant tracking control (FTTC) approach for affine nonlinear systems is developed from the perspective of zero-sum differential games (ZSDG) to deal with unknown multiplicative actuator failures in this paper. By regarding the control input and the multiplicative actuator failure as two players of a zero-sum game, a performance index function reflecting the trajectory tracking erro...Show More

Zero-Sum Differential Game-Based Fault-Tolerant Tracking Control for Nonlinear Systems With Multiplicative Failures

Cong Tan;Mingduo Lin;Hongbing Xia;Bo Zhao;Yancai Xu

2022 China Automation Congress (CAC)

Year: 2022 | Conference Paper |

A 3D-CLDNN Based Multiple Data Fusion Framework for Finger Gesture Recognition in Human-Robot Interaction

Wen Qi;Haoyu Fan;Yancai Xu;Hang Su;Andrea Aliverti

2022 4th International Conference on Control and Robotics (ICCR)

Year: 2022 | Conference Paper |

Cited by: Papers (4)

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Finger gesture recognition using surface electromyography (sEMG) became an efficient Human-Robot Interaction (HRI) solution. Although Machine Learning (ML) techniques are widely applied in this field, the general solutions for labeling and collecting big datasets impose time-consuming implementation and heavy workloads. In this paper, a new deep learning structure, namely three-dimensional convolu...Show More

A 3D-CLDNN Based Multiple Data Fusion Framework for Finger Gesture Recognition in Human-Robot Interaction

Wen Qi;Haoyu Fan;Yancai Xu;Hang Su;Andrea Aliverti

2022 4th International Conference on Control and Robotics (ICCR)

Year: 2022 | Conference Paper |

A DDQN-Based Path Planning Method for Multi-UAVs in a 3D Indoor Environment

Yuchen Ma;Yancai Xu

2022 4th International Conference on Control and Robotics (ICCR)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

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Path planning is one of the most essential for unmanned aerial vehicle (UAV) autonomous navigation. The deep Q-network (DQN) method is widely used for solving the path planning problem, but most researchers simplify the scene into the 2D environment with a single UAV and ignore the fact that there are always multi-UAVs working in 3D environments. Therefore, a double deep Q-network (DDQN) based glo...Show More

A DDQN-Based Path Planning Method for Multi-UAVs in a 3D Indoor Environment

Yuchen Ma;Yancai Xu

2022 4th International Conference on Control and Robotics (ICCR)

Year: 2022 | Conference Paper |

Learning Network-Invariant and Label-Discriminative Representations for Cross-Network Node Classification

Linyao Yang;Yancai Xu;Jiachen Hou;Yuxin Dai;Chen Lv

2021 China Automation Congress (CAC)

Year: 2021 | Conference Paper |

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Networks are ubiquitous data structures in the real world. The accurate and efficient analysis of networks is critical to realizing many intelligent network-based services. However, most existing network analysis methods are developed for single networks and require a lot of labeled data, which is costly and time-consuming to acquire. Transfer learning has been widely accepted as an effective para...Show More

Learning Network-Invariant and Label-Discriminative Representations for Cross-Network Node Classification

Linyao Yang;Yancai Xu;Jiachen Hou;Yuxin Dai;Chen Lv

2021 China Automation Congress (CAC)

Year: 2021 | Conference Paper |

An IVC-Based Nuclear Emergency Parallel Evacuation System

Ke Tan;Linyao Yang;Xin Liu;Yancai Xu;Jiazhen Lin;Xiao Wang;Fei-Yue Wang

IEEE Transactions on Computational Social Systems

Year: 2021 | Volume: 8, Issue: 4 | Journal Article |

Cited by: Papers (7)

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Nuclear emergency evacuation is challenging and dangerous, with time constraints, resource limitations, and radiation exposure risks. The development of the Internet of Things (IoT) and artificial intelligence enables us to build an intelligent evacuation system to help mitigate this problem a great deal. In this article, we design the nuclear emergency parallel evacuation system based on the arti...Show More

An IVC-Based Nuclear Emergency Parallel Evacuation System

Ke Tan;Linyao Yang;Xin Liu;Yancai Xu;Jiazhen Lin;Xiao Wang;Fei-Yue Wang

IEEE Transactions on Computational Social Systems

Year: 2021 | Volume: 8, Issue: 4 | Journal Article |

Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming

Derong Liu;Yancai Xu;Qinglai Wei;Xinliang Liu

IEEE/CAA Journal of Automatica Sinica

Year: 2018 | Volume: 5, Issue: 1 | Journal Article |

Cited by: Papers (212)

The residential energy scheduling of solar energy is an important research area of smart grid. On the demand side, factors such as household loads, storage batteries, the outside public utility grid and renewable energy resources, are combined together as a nonlinear, time-varying, indefinite and complex system, which is difficult to manage or optimize. Many nations have already applied the reside...Show More

Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming

Derong Liu;Yancai Xu;Qinglai Wei;Xinliang Liu

IEEE/CAA Journal of Automatica Sinica

Year: 2018 | Volume: 5, Issue: 1 | Journal Article |

Discrete-time optimal zero-sum games for nonlinear systems via adaptive dynamic programming

Qinglai Wei;Ruizhuo Song;Yancai Xu;Derong Liu;Qiao Lin

2017 6th Data Driven Control and Learning Systems (DDCLS)

Year: 2017 | Conference Paper |

Cited by: Papers (2)

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In this paper, a novel discrete-time iterative zero-sum adaptive dynamic programming (ADP) algorithm is developed for solving the optimal control problems of nonlinear systems. Two iteration processes, which are lower and upper iterations, are employed to solve the lower and upper value functions, respectively. Arbitrary positive semi-definite functions are acceptable to initialize the upper and l...Show More

Discrete-time optimal zero-sum games for nonlinear systems via adaptive dynamic programming

Qinglai Wei;Ruizhuo Song;Yancai Xu;Derong Liu;Qiao Lin

2017 6th Data Driven Control and Learning Systems (DDCLS)

Year: 2017 | Conference Paper |

Iterative Q-learning-based nonlinear optimal tracking control

Qinglai Wei;Ruizhuo Song;Yancai Xu;Derong Liu

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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A new Q-learning algorithm is developed for a class of discrete-time nonlinear systems in this paper to solve the infinite horizon optimal tracking problems. Using system transformations, the optimal tracking problem is transformed to be an optimal regulation problem. Thereafter, for the regulation system, the new Q-learning algorithm is developed in order to obtain the optimal control law. Conver...Show More

Iterative Q-learning-based nonlinear optimal tracking control

Qinglai Wei;Ruizhuo Song;Yancai Xu;Derong Liu

2016 IEEE Symposium Series on Computational Intelligence (SSCI)

Year: 2016 | Conference Paper |

Adaptive dynamic programming for residential energy scheduling with solar energy

Yancai Xu;Derong Liu;Qinglai Wei;Biao Luo

2016 12th World Congress on Intelligent Control and Automation (WCICA)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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Residential energy scheduling on demand side is a hot research area for saving energy and balancing loads. In this paper, an adaptive dynamic programming method is proposed for residential energy scheduling to reduce cost between two adjacent housing units. Two sets of storage batteries and solar stations make energy scheduling problems quite complicated while using traditional methods. The schedu...Show More

Adaptive dynamic programming for residential energy scheduling with solar energy

Yancai Xu;Derong Liu;Qinglai Wei;Biao Luo

2016 12th World Congress on Intelligent Control and Automation (WCICA)

Year: 2016 | Conference Paper |

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